Ecological Complexity Lab GitHub

Interactive companions

Contextual evidence for classifying interactions and guiding their discovery

Kesem Abramov, Shir Nehoray, Rami Puzis & Shai Pilosof (2026)

Link prediction returns candidate interactions, not evidence that they exist. This framework reads the variation between replicated networks as evidence, sorting predicted links into eight classes that each carry a specific next action: sample more, switch method, or accept what you have. These two tools let you explore that taxonomy directly.

Accumulation of confidence across replicate networks

Box 2

Link taxonomy uncertainty explorer

A Bayesian reading of the taxonomy. Class labels are claims about a link's hidden state, so how much confidence does a given evidence pattern actually earn?

  • Pick any of the eight classes on the taxonomy tree
  • Tune model, local and replicate error rates
  • Full posterior, likelihood table and phase space
  • Confidence accumulation across replicates
Open the explorer
Alluvial diagram of predicted links across evidence classes

Box 3 · Cabrera island

Interactive link classification

The framework applied to a real plant–pollinator system: six sites, two sampling methods, and 1624 candidate interactions sorted into where effort is actually worth spending.

  • Confusion matrix → contextual evidence → class → cross-method
  • Switch between direct observation and camera records
  • Move the classification threshold and watch classes shift
  • Click any band to isolate its path and counts
Open the diagram

Data: plant–pollinator interaction networks recorded at six sites on Cabrera island (Balearic archipelago, western Mediterranean), monitored by direct field observation and automated cameras in parallel at every site. That second, independent method is what makes it possible to test the framework's recommendations rather than only state them. Interactions were predicted within each site separately using rank-2 SVD matrix completion under a leave-one-out scheme, then classified against the other five sites as contextual evidence. 23 plant species × 69 pollinator species across 6 sites. Data originally published by Serra-Marin et al. (2025): Serra-Marin, P. E., Solé-Ribalta, A., Lana, A., Borge-Holthoefer, J., Hervías-Parejo, S., & Traveset, A. (2025). Comparative assessment of automated and manual monitoring in comprehensive plant–pollinator communities. Methods in Ecology and Evolution, 16, 2960–2978.